Senior Software Engineer

Proper

Senior Software Engineer building backend services and AI document-processing systems for Proper AI’s accounting platform. Owning integrations, reliability, data models, and automation.

Posted 8/20/2026full-timeRemote • 🇦🇷 ArgentinaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in backend service design and maintenance using Go, Python, and TypeScript, with a strong focus on AI-backed document processing and third-party API integrations. Proven ability to mentor engineers, lead design discussions, and ensure system reliability through observability and rigorous testing.

Highest-signal resume keywords

Go ProgrammingPython ProgrammingPostgreSQL Database ManagementAI-Backed Output EvaluationThird-Party API Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend Service DevelopmentMicroservices ArchitectureSchema DesignUnit TestingScenario TestingDebuggingObservabilityData IntegrityIdempotency DesignFailure Recovery

Soft Skills

Strong CommunicationCollaborative ApproachMentoring

Tools & Technologies

GCPCloud RunCloud SQLPub/SubDockerCI/CD

Certifications & Qualifications

Bachelor's in Computer ScienceMaster's in Software Engineering

Industry Keywords

Production SystemsDistributed SystemsMicroservicesAI Document ProcessingObservability Practices

Tech Stack

Tools & technologies

CloudDockerGoGoogle Cloud PlatformMicroservicesNode.jsPostgresPythonSQLTypeScript

About the role

Key responsibilities & impact

Design, build, and maintain backend services across a Go, NestJS/TypeScript, and Python microservices estate
Own the AI-backed document processing and classification service, including extraction quality, accuracy measurement, and its surrounding pipeline
Design and maintain third-party platform integrations, including authentication, synchronization, retries, and recovery
Design data schemas, migrations, and invariants as the product evolves
Debug across service boundaries and databases to identify root causes
Build observability and provenance into automated flows so actions are traceable, auditable, and reconstructable
Design safe automation with idempotency, preconditions, postconditions, dry runs, and guardrails
Write clean, tested, maintainable code and improve system instrumentation
Define and track correctness and reliability measures
Build evaluation coverage for AI-backed output, including scenario tests, invariant checks, and regression detection
Monitor and improve latency, retries, and failure recovery in automated pipelines
Mentor mid-level engineers
Lead design discussions and code reviews
Document architecture decisions, failure modes, and debugging runbooks
Act as a technical counterpart to the Tech Lead on architecture

Requirements

What you’ll need

6+ years of professional software engineering experience, with a majority in backend or systems work
Demonstrated ownership of a non-trivial production system
Production services in Go and/or Python; TypeScript/Node useful
PostgreSQL, schema design, migrations, query performance, and data integrity
Distributed and cross-service debugging across services, queues, and databases
Third-party API integration engineering, including authentication, retries, idempotency, and partial-failure handling
Observability, structured logging, tracing, failure-mode analysis, and recovery design
Unit and scenario testing, invariant checks, and evaluation of non-deterministic AI-backed output
GCP preferred, including Cloud Run, Cloud SQL, and Pub/Sub; Docker and CI/CD
Experience working with LLM-backed services and validating their output
Bachelor's or Master's in Computer Science, Software Engineering, or a related field — or equivalent practical experience
Strong CS fundamentals
Strong communication of design decisions, trade-offs, and risk
Pragmatic and collaborative approach

Benefits

Comp & perks

Equal opportunity employer committed to a diverse work environment
Full-time employment